A specialized risk assessment agent designed to evaluate compliance and operational performance for logistics carriers and franchise post stations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 02-risk-scoring
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install 02-risk-scoring using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill functions as an expert compliance evaluator specifically tailored for the Cainiao logistics ecosystem. It allows users to input operational data for carriers, warehouse providers, and franchise stations to generate structured risk reports based on the Alibaba Internal Audit framework. By leveraging this tool within Openclaw Skills, developers and auditors can automate the detection of service anomalies and regulatory violations.
The system utilizes a multi-dimensional scoring model that integrates industry-standard KPIs, official operational rules, and historical compliance data. It provides clear risk levels—ranging from Low Risk to Extreme Risk—enabling internal control teams to make rapid decisions on whether a partnership is secure or requires immediate intervention.
To integrate this capability into your workflow, ensure your agent environment supports Openclaw Skills and follow these steps:
# Create a directory for the risk assessment skill
mkdir -p skills/cainiao-audit
# Configure the skill with the required reference documents
cp docs/GLOSSARY.md docs/RULE-UPDATE-SOP.md skills/cainiao-audit/
# Load the skill into your Openclaw environment
openclaw load cainiao-risk-scoring
The skill organizes its assessment into two primary schemas depending on the target type:
| Assessment Model | Core Metrics | Scoring Weights |
|---|---|---|
| Model A: Logistics Supplier | Timeliness, Delivery Rate, Complaints, Compliance, Stability | 25/25/20/20/10 |
| Model B: Post Station | Exit Rate, Complaint Rate, Volume Health, Serious Violations, Digital Ops | 25/25/20/20/10 |
The output is a structured report including metadata (evaluation date, data gaps), dimension-specific scores, a final risk level, and a prioritized action list.
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